100 citations · 223 across the 14 of their papers we have counts for
16 papers
Exploring Deep Learning Image Super-Resolution for Iris Recognition
Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez +1
In this work we test the ability of deep learning methods to provide an end-to-end mapping between low and high resolution images applying it to the iris recognition problem. Here,…
Deep Learning in the Field of Biometric Template Protection: An Overview
Christian Rathgeb, Jascha Kolberg, Andreas Uhl +1
Today, deep learning represents the most popular and successful form of machine learning. Deep learning has revolutionised the field of pattern recognition, including biometric rec…
Advanced Image Quality Assessment for Hand- and Fingervein Biometrics
Simon Kirchgasser, Christof Kauba, Georg Wimmer +1
Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators fo…
Experimental analysis regarding the influence of iris segmentation on the recognition rate
Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun +1
In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain. The authors will ex…
Iris super-resolution using CNNs: is photo-realism important to iris recognition?
Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
The use of low-resolution images adopting more relaxed acquisition conditions such as mobile phones and surveillance videos is becoming increasingly common in iris recognition nowa…
Super-Resolution and Image Re-projection for Iris Recognition
Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
Several recent works have addressed the ability of deep learning to disclose rich, hierarchical and discriminative models for the most diverse purposes. Specifically in the super-r…